Reading once again. Instead of a description of my reading methodologies, or a descriptions of what seems to be the hundreds of papers I've read (I'm not joking, I'm expecting to hear from Green Peace regarding the number of tree's I've had killed), I will merely say: "I think I get it".
I have read a lot of material on the graph drawing paradigm, not just on drawing general undirected graphs, but other areas too - aesthetics (which is assumed to be a requirement in modern papers), projection and perception (also required in anything with more than 2 dimensions), data structures, how to draw different graphs (i.e. planar, trees, star, social network, WWW etc), partitioning, visualisation-specific papers and probably some others which I have temporarily forgotten.
I have also seen many techniques for drawing general graphs, ways which these methods can be scaled, the advantages and disadvantages of these and the standards expected from modern drawing algorithms.
Why do I bring these up you ask? Well chances are I'm going to forget something simple and if its here, I can find it again with ease. As a consequence, you get to see my unfinished, mental-made-virtual, list of reading categories, lucky you.
It is however, coming to the end of this "reading period". I will be looking to write up my findings into a draft literature survey/review, and continue with experimentation using the notes I have found, with the intention to come back in a month or mores time, to continue and reread everything to ensure I haven't missed anything.
I will leave you with a great evaluation of drawing techniques by Yifan Hu; Algorithms for Visualising Large Networks; July 2010; which has helped point out a few techniques previously missed (Stress majorization).
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